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ORCIDNassira Achich
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- affiliation: CNAM, Paris, France
- affiliation: University of Sfax, Tunisia
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Books and Theses
- 2021
[b1]Nassira Achich:
Traitement de l'imperfection des données temporelles saisies par l'utilisateur - Application aux logiciels destinés à des patients malades d'Alzheimer. (Dealing with temporal data imperfection entered by the user - Application to software intended for patients with Alzheimer's disease). HESAM University, Paris, France, 2021
Journal Articles
- 2024
- [j4]Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri:
"TimeOntoImperfection": An OWL 2 ontology to representing temporal data imperfection using imperfection theories. J. Intell. Fuzzy Syst. 46(4): 8153-8168 (2024) - 2022
- [j3]Nassira Achich
, Fatma Ghorbel, Sonda Ammar Bouhamed, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri, Haithem Kharfia, Bilel Gargouri:
An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2. New Gener. Comput. 40(3): 845-870 (2022) - 2021
- [j2]Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri:
Certain and Uncertain Temporal Data Representation and Reasoning in OWL 2. Int. J. Semantic Web Inf. Syst. 17(3): 51-72 (2021) - 2020
- [j1]Fatma Ghorbel, Fayçal Hamdi, Nassira Achich, Elisabeth Métais:
Handling data imperfection - False data inputs in applications for Alzheimer's patients. Data Knowl. Eng. 130: 101864 (2020)
Conference and Workshop Papers
- 2022
- [c9]Nassira Achich, Fatma Ghorbel, Bilel Gargouri, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri:
Handling Temporal Data Imperfections in OWL 2 - Application to Collective Memory Data Entries. RCIS 2022: 617-625 - 2021
- [c8]Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri:
Handling Uncertain Time Intervals in OWL 2: Possibility Vs Probability Theories-based Approaches. FUZZ-IEEE 2021: 1-7 - [c7]Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri:
Dealing with Uncertain and Imprecise Time Intervals in OWL2: A Possibility Theory-Based Approach. RCIS 2021: 541-557 - 2020
- [c6]Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri:
Approach to Reasoning about Uncertain Temporal Data in OWL 2. KES 2020: 1141-1150 - [c5]Nassira Achich:
Dealing with Data Imperfection in OWL 2 - Application to Alzheimer's patients Software. DC@ISWC 2020: 33-40 - 2019
- [c4]Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri:
Representing and Reasoning About Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks. DEXA (2) 2019: 198-208 - [c3]Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais, Faïez Gargouri:
A Typology of Temporal Data Imperfection. KEOD 2019: 305-311 - 2018
- [c2]Nassira Achich, Alsayed Algergawy, Bassem Bouaziz, Birgitta König-Ries:
BioOntoVis: An Ontology Visualization Tool. EKAW (Posters & Demos) 2018: 49-52 - 2017
- [c1]Nassira Achich, Bassem Bouaziz, Alsayed Algergawy, Faïez Gargouri:
Ontology Visualization: An Overview. ISDA 2017: 880-891
Coauthor Index
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